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Credit Risk Modeling & its Application in Banks

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Credit Risk Modeling & its Application in Banks

This course is part of Credit Risk Modeling & Analysis Mastery Specialization

Instructor: EDUCBA

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

23 reviews

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

23 reviews

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

91% of learners achieved a positive career outcome

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Build your subject-matter expertise

This course is part of the Credit Risk Modeling & Analysis Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

This course provides a structured and practical introduction to credit risk modeling with a focus on its application in banking and financial institutions. Designed for learners seeking to analyze, calculate, and evaluate core credit risk components, the course begins by establishing a conceptual foundation for credit risk and its growing importance post-financial crises.

Through real-world examples and step-by-step breakdowns, learners will gain a strong grasp of key modeling inputs such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). They will also learn how to compute expected loss, differentiate between settlement and pre-settlement risk, and assess the practical challenges that arise due to model assumptions and data limitations. By the end of the course, learners will be equipped to interpret and apply credit risk metrics, support risk-based decision-making, and align modeling outputs with capital adequacy and regulatory requirements in a financial services context.

Module details

This module introduces the essential building blocks of credit risk modeling, focusing on its purpose, components, and practical implications in banking and financial institutions. Learners will explore definitions, frameworks, risk estimation metrics, and the challenges associated with real-world credit risk measurement. By understanding core concepts such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), learners will gain a structured foundation for analyzing and quantifying credit risk within institutional settings.